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Document type:
Zeitschriftenaufsatz 
Author(s):
Brieden, A., P. Gritzmann and F. Klemm 
Title:
Constrained clustering via diagrams: A unified theory and its application to electoral district design 
Abstract:
The paper develops a general framework for constrained clustering which is based on the close connection of geometric clustering and diagrams. Various new structural and algorithmic results are proved (and known results generalized and unified) which show that the approach is computationally efficient and flexible enough to pursue various conflicting demands. The strength of the model is also demonstrated practically on real-world instances of the electoral district design problem where munici...    »
 
Keywords:
Combinatorial optimization, Constrained clustering, Generalized Voronoi diagrams, Electoral district design, OR in government 
Journal title:
European Journal of Operational Research 
Year:
2017 
Journal issue:
263 
Pages contribution:
18-34 
Reviewed:
ja 
Language:
en 
TUM Institution:
Lehrstuhl für Angewandte Geometrie und Diskrete Mathematik